> For the complete documentation index, see [llms.txt](https://docs.cloudeka.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloudeka.ai/guidance-for-individual/deka-gpu/deka-gpu-kubernetes/workloads/deployments/delete-of-a-deployment.md).
# Delete of a Deployment
**Delete Deployments** is a feature provided by the **Deka GPU Service** **Portal** to remove unused Deployments. In the **Deployments** table, under the **Action** column, click the **trash icon** button.
Delete Pod
The **Delete Pod** window appears. Click the **Yes** button to proceed with the deletion process. Re-enter the **Pod name** in the **Input Name** field and click the **"I understand the consequences, delete this pod"** button.
